Scherer, Sebastian A. and Daniel Dube and Andreas Zell

Using Depth in Visual Simultaneous Localisation and Mapping

IEEE International Conference on Robotics and Automation, St. Paul, Minnesota, USA, May, 2012

Abstract

We present a method of utilizing depth information as provided by
RGBD sensors for robust real-time visual simultaneous localisation
and mapping (SLAM) by augmenting monocular visual SLAM to take into
account depth data. This is implemented based on the feely available
software "Parallel Tracking and Mapping'' by Georg Klein. Our modifications
allow PTAM to be used as a 6D visual SLAM system even without any
additional information about odometry or from an inertial measurement
unit.

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BibTeX

@inproceedings{scherer2012,
author = {Scherer, Sebastian A. and Daniel Dube and Andreas Zell},
title = {{Using Depth in Visual Simultaneous Localisation and Mapping}},
booktitle = {IEEE International Conference on Robotics and Automation},
year = {2012},
address = {St. Paul, Minnesota, USA},
month = {May},
abstract = {We present a method of utilizing depth information as provided by
RGBD sensors for robust real-time visual simultaneous localisation
and mapping (SLAM) by augmenting monocular visual SLAM to take into
account depth data. This is implemented based on the feely available
software ``Parallel Tracking and Mapping'' by Georg Klein. Our modifications
allow PTAM to be used as a 6D visual SLAM system even without any
additional information about odometry or from an inertial measurement
unit.},
url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2012/scherer2012.pdf}
}